Background: Initially, detection and isolation of Aichivirus as a new member of Picornaviridae family was documented in Japan. Aichivirus species belongs to genus Kobuvirus, including 3 genotypes A, B and C. In previous studies, it has been suggested that Aichivirus infect humans by fecal-oral route. To establish an investigation for the occurrence of Aichivirus among pediatric patients involved to acute gastroenteritis, we developed a reverse transcription quantitative polymerase chain reaction assay for detection and quantification of Aichivirus in stool specimens. Material and Methods: In this study, a total of 160 stool samples from September 2018 to May 2019 were collected from pediatric patients presenting with acute gastroenteritis in Karaj hospital, Iran. After viral RNA extraction, the reverse transcription quantitative polymerase chain reaction was performed to amplify the 3CD junction region of Aichivirus genome and viral load was assessed. Aichivirus genomic RNA was detected in 13/160 (8.1%) of stool samples. The highest Aichivirus detection rate was in December (30.7%). The maximum viral load was determined to be 3.9 × 108 copies/g in one sample obtained from a 1-month-old patient. The co-infection of Aichivirus with salivirus and saffold virus was also assessed by reverse transcription quantitative polymerase chain reaction, among which frequent mixed infections by 2 or more viruses were identified. Conclusions: This is the first documentation of Aichivirus detection in stool samples that demonstrates Aichivirus has been circulating among Iranian pediatric patients.
Objective Most patients infected with the novel coronavirus (SARS‐CoV‐2), as the causative agent of COVID‐19 disease, show mild symptoms, but some of them develop severe illness. The purpose of this study was to analyze the blood markers of COVID‐19 patients and to investigate the correlation between serum inflammatory cytokines and the disease severity. Methods In this prospective cross‐sectional study, 50 patients with COVID‐19 and 20 patients without COVID‐19 were enrolled. According to ICU admission criteria, patients were divided into two groups of non‐severe and severe. Differences in the serum levels of C‐reactive protein (CRP), IL‐6, and TNF‐α, as well as erythrocyte sedimentation rate (ESR), lymphocytes (LYM) count, and neutrophils (NEU) count between the two groups were determined and analyzed. Results Out of the 50 patients with COVID‐19, 14 were diagnosed as severe cases. There was no significant difference between the two groups of COVID‐19 patients in terms of gender and age. Blood tests of COVID‐19 patients showed a significant decrease and increase in NEU and LYM counts, respectively. There were significant differences in the serum levels of IL‐6, TNF‐α, and CRP between the severe and non‐severe groups, which were higher in the severe group. Also, there was a significant correlation between the disease severity and CRP with ESR (r = 0.79), CRP with IL‐6 (r = 0.74), LYM with NEU (r = −0.97), and ESR with TNF‐α (r = 0.7). Conclusion The findings of this study, as the first study in Iran, suggest that the levels of IL‐6, TNF‐α, ESR, and CRP could be used to predict the severity of COVID‐19 disease.
Background: HRV is the causative agent of severe gastroenteritis in children and responsible for two million hospitalizations and more than a half-million deaths annually. Sequence characteristics of the gene segments encoding the VP7 and VP4 proteins are used for the genotype classification of rotavirus. A wide variety of molecular methods are available, mainly based on reverse transcription PCR for rapid, specific and sensitive genotyping of rotaviruses. This study describes an alternative real-time PCR assay for genotyping of rotavirus. Methods: The samples of stools studied in this research have been collected from patients referred to Children's Medical Centers, Tehran, Iran. Rotavirus detection and genotyping were performed using the RT-PCR and seminested RT-PCR, respectively. Samples were then genotyped with a new real-time PCR. Results: The real-time PCR was able to genotype all positive samples with a mean C t of 28.2. Besides, a concordance rate of 100% was detected between real-time PCR and semi-nested RT-PCR. Conclusion: In this study, the genotyping of rotavirus with real-time PCR showed that this method can provide several favorable features, including high sensitivity and specificity, and a wide dynamic range for rotavirus genotyping.
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